Cost Minimization Control for Smart Electric Vehicle Car Parks

2018 ◽  
Author(s):  
Xiaoke Su ◽  
Hong Yue
Keyword(s):  
Electric Vehicle ◽  
Cost Minimization

scholarly journals Operational Cost Minimization of Grid Connected Microgrid System Using Fire Fly Technique

2020 ◽  
Vol 1 (2) ◽  
pp. 1-26
Author(s):  
Shubhanshee Jain ◽  
◽  
Eknath Borkar
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Optimization Techniques ◽  
Energy Sources ◽  
Operational Cost ◽  
Vehicle Technology

Present time, green energy sources interfacing to the utility grid by utilizing microgrid system is very vital to satisfy the ever increasing energy demand. Optimal operation of the microgrid system improved the generation from the distributed renewable energy sources at the lowest operational cost. Large amount of constraints and variables are associated with the microgrid economic operation problem. Thus, this problem is very complex and required efficient technique for handing the problem adequately. There-fore, this research utilized the efficient fire fly optimization technique for solving the formulated microgrid operation control problem. Fire fly algorithm is based on the behavior and nature of the fire flies. A microgrid system modelling which incorporated various distributed energy sources such as solar photo voltaic, wind turbine, micro turbine, fuel cell, diesel generator, electric vehicle technology, battery energy storage system and demands. Energy storage system is utilized in this research for supporting renewable energy sources’ integration in more reliable and qualitative way. Further, the electric vehicle technology i.e. battery electric vehicle, plug-in hybrid electric vehicle and fuel cell electric vehicle are utilized to support the microgrid and utility grid systems with respect to variable demands. Optimal operational cost minimization problem of the developed microgrid system is solved by fire fly algorithm and compared with the grey wolf optimization and particle swarm optimization techniques. By comparative analysis it is clear that the fire fly algorithm provides the minimum operational cost of microgrid system as compared to the GWO and PSO. MATLAB software is utilized to model the microgrid system and implementation of the optimization techniques.

Adaptive identification methods of nonlinear random electrical signal

2020 ◽  
Vol 64 (1-4) ◽  
pp. 431-438
Author(s):  
Jian Liu ◽  
Lihui Wang ◽  
Zhengqi Tian
Keyword(s):  
Wavelet Transform ◽  
Electric Vehicle ◽  
Signal To Noise Ratio ◽  
Sudden Change ◽  
Electrical Signal ◽  
Signal Recognition ◽  
State Variable ◽  
Signal Characteristics ◽  
The Matrix ◽  
Kalman Filter Algorithm

The nonlinearity of the electric vehicle DC charging equipment and the complexity of the charging environment lead to the complex and changeable DC charging signal of the electric vehicle. It is urgent to study the distortion signal recognition method suitable for the electric vehicle DC charging. Focusing on the characteristics of fundamental and ripple in DC charging signal, the Kalman filter algorithm is used to establish the matrix model, and the state variable method is introduced into the filter algorithm to track the parameter state, and the amplitude and phase of the fundamental waves and each secondary ripple are identified; In view of the time-varying characteristics of the unsteady and abrupt signal in the DC charging signal, the stratification and threshold parameters of the wavelet transform are corrected, and a multi-resolution method is established to identify and separate the unsteady and abrupt signals. Identification method of DC charging distortion signal of electric vehicle based on Kalman/modified wavelet transform is used to decompose and identify the signal characteristics of the whole charging process. Experiment results demonstrate that the algorithm can accurately identify ripple, sudden change and unsteady wave during charging. It has higher signal to noise ratio and lower mean root mean square error.

From transaction costs to transaction value: Overcoming the frictional paradigm

2020 ◽  
pp. 51-81
Author(s):  
D. P. Frolov
Keyword(s):  
Transaction Costs ◽  
Transaction Cost ◽  
Path Dependence ◽  
Transaction Cost Economics ◽  
Cost Minimization ◽  
Low Cost ◽  
Coase Theorem ◽  
Transactional Analysis ◽  
Transaction Sector ◽  
Transaction Value

The transaction cost economics has accumulated a mass of dogmatic concepts and assertions that have acquired high stability under the influence of path dependence. These include the dogma about transaction costs as frictions, the dogma about the unproductiveness of transactions as a generator of losses, “Stigler—Coase” theorem and the logic of transaction cost minimization, and also the dogma about the priority of institutions providing low-cost transactions. The listed dogmas underlie the prevailing tradition of transactional analysis the frictional paradigm — which, in turn, is the foundation of neo-institutional theory. Therefore, the community of new institutionalists implicitly blocks attempts of a serious revision of this dogmatics. The purpose of the article is to substantiate a post-institutional (alternative to the dominant neo-institutional discourse) value-oriented perspective for the development of transactional studies based on rethinking and combining forgotten theoretical alternatives. Those are Commons’s theory of transactions, Wallis—North’s theory of transaction sector, theory of transaction benefits (T. Sandler, N. Komesar, T. Eggertsson) and Zajac—Olsen’s theory of transaction value. The article provides arguments and examples in favor of broader explanatory possibilities of value-oriented transactional analysis.

Sign in / Sign up

Export Citation Format

Share Document